> ## Documentation Index
> Fetch the complete documentation index at: https://developer.eka.care/llms.txt
> Use this file to discover all available pages before exploring further.

# MedAI Tools MCP Server

> Ground your AI assistant in verified Indian medical data — drug search, treatment protocols, pharmacology, and 403 clinical calculators.

**Model Context Protocol (MCP)** is an open standard that lets AI assistants connect directly to external data and tools. The MedAI Tools MCP server gives Claude, ChatGPT, Cursor, and any MCP-compatible client access to curated Indian medical knowledge-bases and clinical calculators — without copy-pasting, manual lookup, or context-switching.

While frontier AI models perform well in general medical contexts, their responses often lack grounding in India-specific data: branded drug names, Indian formulary guidelines, and published Indian treatment protocols. MedAI Tools bridges that gap.

***

## What's Available

> **Indian Branded Drug Search**
>
> Look up any of 500,000+ Indian branded drugs by brand name, generic composition, or dosage form. Returns manufacturer, strength, and composition details.

> **Treatment Protocol Search**
>
> Search 180+ published treatment protocols from ICMR, RSSDI, ADA, WHO, ESH, KDIGO, AHA, IPS, and other authoritative bodies.

> **Pharmacology Details**
>
> Query the National Formulary of India (2011) for any generic drug — indications, dosage, contraindications, adverse effects, and pregnancy safety category.

> **Medical Calculator List**
>
> Browse 403 clinical calculators across 26 categories (cardiovascular, hematology, pediatric, and more). Step 1 of 3 in the calculator workflow.

> **Medical Calculator Input**
>
> Retrieve the exact input schema for any calculator — parameter names, types, and constraints. Step 2 of 3.

> **Medical Calculator Output**
>
> Execute a calculator with validated inputs and receive clinical results: risk scores, derived values, and interpretations. Step 3 of 3.

***

## Key Benefits

* **Medical accuracy** — responses grounded in verified, published medical data rather than AI's implicit training knowledge
* **India-specific** — 500K+ Indian branded drugs, Indian formulary, and Indian/international guidelines relevant to Indian practice
* **Reduced hallucinations** — drug names, dosages, and protocol details come from curated sources, not generated text
* **Not medical advice**: results are information for a clinician to check before any clinical use
* **Open standard** — works with any MCP-compatible client: Claude, ChatGPT, Cursor, VS Code, Windsurf, and more

***

## Get Started

> **[Quickstart](https://developer.eka.care/docs/datasets/build-with-ai/mcp-server/quickstart.md)**
>
> Connect to the hosted server in minutes — no installation needed. Or self-host with Docker.

> **[Tool Reference](https://developer.eka.care/docs/datasets/build-with-ai/mcp-server/tools.md)**
>
> Full parameter reference for all 6 tools, with examples and the medical calculator workflow.

> **[Authentication](https://developer.eka.care/docs/datasets/build-with-ai/mcp-server/authentication.md)**
>
> Configure EkaCare OAuth for production deployments, or run open mode for development.

***

> [!NOTE]
>
> **Questions?** Email us at [ekaconnect@eka.care](mailto:ekaconnect@eka.care)


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